摘要
面部关键特征点的定位和取样直接关系到面部识别率的高低,本文提出了一种对人类面部图像进行细节提取,并进行了方向场化突出,最后将其特征2值化的预处理的方法,有效地抑制了面部图像中提取的特征点样本模糊的现象。实验证明,通过这种方法对面部图像的预处理,能够较好地提升一般面部识别算法的识别率。
Positioning and sampling of the facial feature points are directly related to the level of facial recognition rate. This paper proposes a new preprocessing method to extract details from human facial image, highlighted by line element field, and finally charac terized by two values. It effectively suppresses the blurred sample of feature points in facial image extraction. The experiments show that this method of facial image preprocessing could enhance the recognition rate of the general face recognition algorithms.
出处
《湖南广播电视大学学报》
2012年第3期60-64,共5页
Journal of Hunan Radio and Television University
关键词
人脸识别
表情识别
关键点定位
特征提取
facial recognition
expression recognition
key point positioning
feature extraction
